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Build and maintain Nomeco’s data pipelines, warehouse, and AI-ready data foundation using Azure tools, ensuring high-quality data for reporting, analytics, and predictive/generative AI solutions in healthcare logistics.
Builds and maintains data-driven solutions using Azure Databricks, PySpark, and SQL to enable business insights and decision-making for Arla Foods' innovation and consumer intelligence teams.
Veiligheidsregio Utrecht zoekt een data engineer om het Azure-gebaseerde datawarehouse op Data Vault- basis robuuster en efficiënter te maken. Je monitort en verbetert ETL-pipelines, implementeert unit testing en werkt…
Works as a Data Engineer for Veiligheidsregio Utrecht, developing a Data Vault datawarehouse in Azure, Azure Data Factory ETL/ELT pipelines, and automating CI/CD. Core technologies include Azure, Data Vault, and Data Factory.
Build and optimize an Azure-based Data Vault data warehouse, implement ETL pipelines, and enforce testing/monitoring for a government safety agency.
Data Engineer at Veiligheidsregio Utrecht working on a Data Vault-based datawarehouse in Azure, focusing on improving data pipelines, monitoring, and unit testing. Core technologies include Data Vault, Azure Data Factory, SQL, and Python.
Build and manage Azure data pipelines and dataflows using Azure Data Factory, SQL databases, and data warehouses in a fully remote role.
Builds and maintains full-stack .NET applications, handling both frontend (Angular/React) and backend (.NET Core) development, with a focus on performance, security, and cloud-native solutions using Azure.
Builds and maintains enterprise data pipelines, warehouses, and semantic models in Azure to deliver trusted analytics for business users.
Data Engineer to work onsite in Springfield, VA supporting a government contract, focusing on data ingestion, pipeline development, cloud deployment, database architecture, streaming data processing, workflow orchestration, and AI/ML integration using Python, AWS/Azure, Kafka, Airflow, and various database technologies.
Embed data quality and Responsible AI controls into enterprise pipelines, models, and workflows to ensure governed, traceable, and audit-ready data for AI use cases.
Designs and optimizes data systems for AI/ML, analytics, and large-scale operations, integrating cloud platforms and pipelines while ensuring scalability, security, and performance.
Build and modernize a SQL Server-based analytics stack for a VA health-system customer, splitting time between ETL/pipeline work and Power BI reporting, statistical modeling, and ad-hoc data calls.
SM Energy is looking for an Environmental/ Air Data Analyst to join the Air Team within the Environmental & Regulatory group. The primary focus of this position is air quality compliance — tracking emissions,…
Senior Data Engineer builds and maintains scalable data pipelines in Azure, Databricks, and Fabric, ensuring high-quality, governed data for analytics and AI use cases.
Designs and governs secure, compliant data platforms for a federal agency’s Azure cloud, setting standards for Lakehouse architecture, Zero Trust, and ATO-aligned security while optimizing cost and interoperability.
¡Ampliamos nuestro equipo! En Bluetab seguimos creciendo y estamos en búsqueda de apasionados/as del mundo tecnológico. Somos una compañía que proporciona servicios y soluciones digitales, contamos con un equipo…
VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and…
Builds and maintains scalable data pipelines and ETL/ELT processes for clients, using cloud tools like Azure Data Factory, AWS Glue, and Snowflake to transform raw data into actionable insights. Works collaboratively with cross-functional teams to optimize data platforms and support analytics initiatives.
Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
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